by inferock · LLM Plugin · ★ 125
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Your AI bill can be quietly wrong. Providers shouldn't get to grade their own bills. Today, the company that charges you also decides what counts as a failure, what gets credited, and keeps the only detailed records. inferock-bench puts an independent, per-call receipt of what you were billed — and what failed — in your own hands. We built inferock-bench because we kept paying for answers that died mid-sentence, and nobody could tell us where the money went. Quickstart · Test your loss · What can go wrong · Key boundary · Docs ![Inferock Bench dashboard from a real measured cumulative run, captured after traffic loaded, showing the four-element headline spent, money loss, time loss, and invoice-check ex
| Stars | 125 |
| Forks | 49 |
| Language | TypeScript |
| Category | LLM Plugin |
| Quality Score | 65.5858442738478/100 |
| Last Updated | 2026-08-06 |
| Created | 2026-07-02 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~21k |
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inferock-bench is Local LLM cost-tracking proxy for OpenAI, Anthropic, Gemini, and pinned OpenRouter calls with token usage, failure, and billing-integrity receipts.. It is categorized as a LLM Plugin with 125 GitHub stars.
inferock-bench is primarily written in TypeScript. It covers topics such as ai-billing, anthropic, benchmark.
You can find installation instructions and usage details in the inferock-bench GitHub repository at github.com/inferock/inferock-bench. The project has 125 stars and 49 forks, indicating an active community.
The top alternatives to inferock-bench on Agent Skills Hub include ccproxy, repopack-py, toktrack. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.